A Study On Teaching Optimization Of Secondary Tourism Management Courses From The Perspective Of Deep Learning

The development of tourism industry in the new era requires practitioners to have the ability of deep learning,and deep learning is also an important requirement for the cultivation of talents in secondary tourism management.However,there are problems in the teaching of secondary tourism management majors in professional courses,such as emphasizing teaching over learning and neglecting deep learning requirements,which lead to the low level of students’ learning mastery and learning ability and make it difficult to meet the requirements of industry development,and also affect students’ subsequent career development.Therefore,it is necessary to rationally examine the current situation of classroom teaching in secondary tourism,clarify the existing problems,pay attention to the real learning needs of students,put forward teaching optimization suggestions,implement the educational concept of teaching by learning,and lead students to transition from shallow learning to deep learning continuously.Based on the perspective of deep learning theory,this paper uses literature research,questionnaires,text analysis,interviews,classroom observation and other research methods,and builds a framework for analyzing learning levels by drawing on Bloom’s taxonomy theory of cognitive domain objectives and Biggs’ SOLO classification theory.The conclusions of this study are:(1)The framework of analyzing the learning level of secondary tourism management students can be constructed from two dimensions: cognitive level and thinking characteristics.(2)At present,the learning level of Shanghai secondary school students in the course of "Basic Knowledge of Tour Guide" is at a shallow stage,mainly in memory and understanding,and poorly in application and creation dimensions;the thinking characteristics are mainly in single point structure,and fail to rise to correlation structure and abstract expansion structure.(3)The following problems exist in teachers’ teaching: the teaching objectives are single,mainly at a shallow cognitive level;the teaching contents are fragmented and detached from the real task context;the teaching strategies are single,lacking students’ deep participation;the teaching evaluation is one-sided,focusing on knowledge understanding and memorization.The following problems exist in students’ learning:shallow learning motivation;poor learning habits and insufficient commitment to learning;weak learning ability and dull learning style.(4)Based on deep learning theory,the idea of optimizing teaching mode is proposed based on students’ cognitive process of knowledge;targeted teaching optimization strategies are proposed for shallow learning,deep learning and students’ learning psychology.